Hum-mPLoc citations

[…] which can specifically predict errps does not exist. moreover, predictors like proloc-go (), knowpredsite (), slocx (), iloc-animal (), iloc-euk (), cello v-2.5 (), hybridgo-loc (), mgoasvm (), hum-ploc (), euk-mploc (), pslt (), euk-mploc 2.0 (), the method developed by , and considered er as one among many subcellular locations. but these have some shortcomings like (i) among […]

[…] are run in non-homology mode where all the homologous structures identified with sequence identities greater than or equal to 30% are removed. the subcellular localization is predicted by using hum-mploc []., the protein sequences are composed of 20 native amino acids, while in natural language, the sentences are comprised by words. such similarity has draw researchers attention […]

[…] learning step. the training set reconstruction will be introduced from two aspects, namely, data sources and data processing. the new dataset contains mainly two sources, which are locate and hum-mploc 2.0., about 526 (480+43+3 = 526) protein sequences are recorded as multi-label sequences (no repeat), which have two or more types of subcellular sites (the number of sites p1 is greater […]

library_books

Systems Biology Approaches for the Prediction of Possible Role of Chlamydia pneumoniae Proteins in the Etiology of Lung Cancer

Computational and Experimental Approaches to Reveal the Effects of Single Nucleotide Polymorphisms with Respect to Disease Diagnostics

2014

Int J Mol Sci

PMCID: 4100115

PMID: 24886813

DOI: 10.3390/ijms15069670

[…] and testing algorithms., since the earliest subcellular predictors psort [], signalp [,] and targetp [], there has been substantial progress in the development of these predictors. one of these, hum-mploc 2.0 [,,], which is a human subcellular localization predictor, shows a substantial advancement over earlier versions, the hum-ploc and hum-mploc. briefly, the datasets included […]

[…] complementary and enhancements to the experimental annotations., there are a number of existing methods that can predict protein subcellular locations based on primary sequences. we find that the hum-mploc 2.0 and y-loc predictors provided the most convenient and reliable services that are suitable for our work. therefore, two sequence based predictors were integrated in this work, […]

This work was supported by the Natural Science Foundation of China (No. 61671288), the Science and Technology Commission of Shanghai Municipality (No. 16JC1404300), and the Shanghai Municipal Natural Science Foundation (No. 16ZR1448700).